Based on Euclidean distance in R, we obtained following three clusters: A =(0,5,6),B =(3,9),C =(12). In the next iteration of the clustering, which two clusters will be merged by complete linkage and single linkage approaches, respectively ?

Explain the second chance page replacement approach for LRU approximation.

1. Write the ô function for the following transition graphs (1) dfa (δοΕ: QxΣ Q) a 91 92 (2) nfa (5NF4 : Qx (EU{2})→ P(Q)) www a, b a 92

Machine Learning and Stats) Show the first two iterations (after the initialization) of the k-means clustering algorithm (show centers and assignments of data points to clusters) for the following 2D data set: (4, 2), (0, 1), (1, 4), (2, 8), (3, 5), (8, 8), (3, 3), (10, 10), (20, 18), and (12, 9). Assume the number of centers is equal to 2 and the centers are initialized to (1, 1) and (7, 8).

I have to prove that: "If G1 and G2 are consistent connected graphs with at least one vertex in common, then G1UG2 (G1 union G2) is connected. What I know so far is that I either need to show that both vertices are in the same vertex set or the two vertices are in different sets. However, I'm not sure if this is the correct approach. Please help with this proof.

Show all calculation.

How does k-means clustering work in RapidMiner (RM) vs Tableau?

Suppose we have three cluster centroids µl=[1, 2], µ2=[-3, 0] and µ3=[4,2]. Furthermore, we have a training example x(i)=[-1,2]. After a cluster assignment step, which cluster will x(i) belong to - c(1), c(2) or c(3)?